Evidence map›Paper›PMID 26589177›Full record

ArticleGenome medicine2015

Identification of global regulators of T-helper cell lineage specification.

Kartiek Kanduri, Subhash Tripathi, Antti Larjo, Henrik Mannerström, Ubaid Ullah, Riikka Lund, R David Hawkins, Bing Ren, Harri Lähdesmäki, Riitta Lahesmaa

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Identification of the novel FOXP3-dependent TFrontiers in immunology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 2 countries.

Kartiek KanduriTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland. kartiek.kanduri@btk.fi.
Subhash TripathiTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland. st.iitkgp@gmail.com.
Antti LarjoDepartment of Computer Science, Aalto University School of Science, Espoo, Finland. antti.larjo@gmail.com.
Henrik MannerströmDepartment of Computer Science, Aalto University School of Science, Espoo, Finland. henrik.mannerstrom@aalto.fi.
Ubaid UllahTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland. ubaid.ullah@btk.fi.
Riikka LundTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland. riikka.lund@btk.fi.
R David HawkinsTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland. rdhawk@uw.edu.
Bing RenLudwig Institute for Cancer Research, La Jolla, CA, 92093, USA. biren@ucsd.edu.
Harri LähdesmäkiDepartment of Computer Science, Aalto University School of Science, Espoo, Finland. harri.lahdesmaki@aalto.fi.
Riitta LahesmaaTurku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland. riitta.lahesmaa@btk.fi.
Aalto University · FITurku Centre for Biotechnology · FIUniversity of Turku · FIÅbo Akademi University · FILudwig Cancer Research · USUniversity of Washington · US

Funding

Functional assessment of distal regulatory SNPs associated with type 1 diabetes.R01DK103667 · NIDDK · UNIVERSITY OF WASHINGTON · PI HAWKINS, RAYMOND DAVID · 2015 to 2019
$2.5M
Functional validation of Rheumatoid Arthritis-associated distal regulatory SNPs iR01AR065952 · NIAMS · UNIVERSITY OF WASHINGTON · PI HAWKINS, RAYMOND DAVID · 2015 to 2018
$1.8M
NIAMS NIH HHS R01 AR065952NIDDK NIH HHS R01 DK103667
6 · The paper itself

Abstract

backgroundActivation and differentiation of T-helper (Th) cells into Th1 and Th2 types is a complex process orchestrated by distinct gene activation programs engaging a number of genes. This process is crucial for a robust immune response and an imbalance might lead to disease states such as autoimmune diseases or allergy. Therefore, identification of genes involved in this process is paramount to further understand the pathogenesis of, and design interventions for, immune-mediated diseases.

methodsWe aimed at identifying protein-coding genes and long non-coding RNAs (lncRNAs) involved in early differentiation of T-helper cells by transcriptome analysis of cord blood-derived naïve precursor, primary and polarized cells.

resultsHere, we identified lineage-specific genes involved in early differentiation of Th1 and Th2 subsets by integrating transcriptional profiling data from multiple platforms. We have obtained a high confidence list of genes as well as a list of novel genes by employing more than one profiling platform. We show that the density of lineage-specific epigenetic marks is higher around lineage-specific genes than anywhere else in the genome. Based on next-generation sequencing data we identified lineage-specific lncRNAs involved in early Th1 and Th2 differentiation and predicted their expected functions through Gene Ontology analysis. We show that there is a positive trend in the expression of the closest lineage-specific lncRNA and gene pairs. We also found out that there is an enrichment of disease SNPs around a number of lncRNAs identified, suggesting that these lncRNAs might play a role in the etiology of autoimmune diseases.

conclusionThe results presented here show the involvement of several new actors in the early differentiation of T-helper cells and will be a valuable resource for better understanding of autoimmune processes.

Indexed as

Autoimmune DiseasesCD4-Positive T-LymphocytesCell DifferentiationCell LineageCells, CulturedEpigenesis, GeneticFetal BloodGene Expression ProfilingGene Expression RegulationHumansOpen Reading FramesRNA, Long NoncodingSequence Analysis, RNASignal TransductionTh1 CellsTh2 CellsRNA, Long Noncoding

Identifiers

PMID26589177
PMCPMC4654807
OpenAlexW2178156856

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.